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Application of Quadratic Linearization for the Control of Permanent Magnet Synchronous Motor

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Many of the existing control methods for the permanent magnet synchronous motor (PMSM) either deal with steady state models or consider dynamic models under particular cases. A dynamic model of the PM machine allows powerful control-theoretic techniques such as linearization to be applied to the system. Existing exact feedback linearization of dynamic model of PMSM suffers from singularity issues. In this paper, we propose a quadratic linearization approach for PMSM based on the approximate linearization technique which does not introduce singularities. A MATLAB simulation is used to verify the effectiveness of the linearization technique proposed. Also, to account for higher-order and unmodelled dynamics of PMSM, tuning of the linearizing transformation is proposed and verified using simulation.
Title: Application of Quadratic Linearization for the Control of Permanent Magnet Synchronous Motor
Description:
Many of the existing control methods for the permanent magnet synchronous motor (PMSM) either deal with steady state models or consider dynamic models under particular cases.
A dynamic model of the PM machine allows powerful control-theoretic techniques such as linearization to be applied to the system.
Existing exact feedback linearization of dynamic model of PMSM suffers from singularity issues.
In this paper, we propose a quadratic linearization approach for PMSM based on the approximate linearization technique which does not introduce singularities.
A MATLAB simulation is used to verify the effectiveness of the linearization technique proposed.
Also, to account for higher-order and unmodelled dynamics of PMSM, tuning of the linearizing transformation is proposed and verified using simulation.

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